Spring 2006

                                                                         

1. Introduction The Scientific Method, Theories, Hypotheses, Models 2. Statistical Definitions and Concepts Populations and Samples Point Estimation, Bias and Precision or Estimators Confidence Interval Estimation Hypothesis Testing, Type I and Type 2 Errors, Power of Tests 3. Classical Experimental Designs Randomization, Replication and Blocking Completely Random Design Randomized Complete Block Design Treatment Designs (Simple, Factorial) Split Plot Designs Repeated Measures Designs 4. Problems of Experimental Design in Ecological Field Studies Lack of Randomization Lack of Replication Pseudoreplication Spatial Scales of Interest vs Those That Are Practical 5. Quasi- Experimental Designs Before After Control Impact Designs (BACI) Weaker Designs No Before Impact Designs No Control Impact Designs Other Designs 6. Design of Observational Studies 7. Sampling Design Issues for Experiments and Observational Studies Simple Random Sampling Without Replacement Systematic Random Sampling Stratified Random Sampling Cluster and Multi-State Sampling Double Sampling Adaptive Sampling 8. Exploratory Data Analysis in Observational Studies Multiple Regression Analysis Logistic Regression Analysis Principal Components Analysis Other Multivariate Methods (Brief) 9. Meta-Analysis (Combining Multiple Studies) 10. Integration of Field Studies, Mathematical Models, Adaptive Management